Forward Deployed Engineer

Whyhirewrong?; England; On-site; GBP 80,000 - 110,000; Full time

Job summary

Whyhirewrong? is seeking a Forward Deployed Engineer to bridge our AI operations platform with enterprise systems. You will engage directly with clients to translate business goals into practical AI-powered integrations and measurable outcomes.

You’ll act as both solution architect and hands-on engineer, delivering scalable integrations, AI agents, and impactful business value in real-world environments. This role is highly commercial and customer-facing, requiring clear communication of

Qualifications

• 5+ years of software/solutions engineering or similar
• External, commercial experience with enterprise customers
• Hands-on with Python/JavaScript, SQL, APIs, JSON, and webhooks
• Fluent in English and able to explain tech to non-tech audiences

Responsibilities

• Lead technical discovery with enterprise customers, including C-level stakeholders
• Understand customer workflows, systems, data sources, and challenges
• Scope projects, define success criteria, translate requirements into tech
• Design and build integrations between AI platform and customer systems
• Develop, configure, and deploy LLM-based agents and automation workflows
• Work with evaluation methods and agent frameworks for reliability
• Communicate decisions, risks, and trade-offs to stakeholders
• Measure business impact and ROI of delivered solutions
• Act as trusted technical advisor throughout implementation and post-deployment

Skills

5+ years experience

Strong communication

English fluency

Enterprise scoping experience

Startup/scale-up experience

Tools

Python

JavaScript

SQL

APIs

JSON

Webhooks

LLM frameworks

Job description

About the Role

We are looking for a Forward Deployed Engineer to bridge the gap between an AI operations platform and the real-world systems used by enterprise customers. You will work directly with clients to understand their processes, technical constraints, and business goals, then design and deliver practical AI-powered solutions within their existing environment.

This is a highly commercial, client-facing engineering role. You will act as both a solution architect and a hands-on engineer, translating customer requirements into working integrations, AI agents, and measurable business outcomes.

What You Will Do

• Lead technical discovery with enterprise customers, including C-level and senior business stakeholders.

• Understand customer workflows, systems, data sources, and operational challenges.

• Scope implementation projects, define success criteria, and translate business requirements into technical solutions.

• Design and build integrations between the AI platform and customer systems using Python or JavaScript, SQL, APIs, JSON, and webhooks.

• Develop, configure, and deploy LLM-based agents and automation workflows in production environments.

• Work with AI evaluation methods, retrieval systems, MCP, and agent frameworks to ensure solutions are reliable and fit for purpose.

• Handle real-world deployment constraints, including legacy systems, incomplete documentation, limited APIs, and changing customer requirements.

• Communicate technical decisions, risks, and trade-offs clearly to both technical and non-technical stakeholders.

• Measure and communicate the business impact of delivered solutions, including efficiency gains, cost savings, and operational improvements.

• Act as a trusted technical advisor throughout implementation and post-deployment engagement.

What We Are Looking For

• 5+ years of experience in software engineering, solutions engineering, technical consulting, or a similar customer-facing technical role.

• External, commercial experience working with named enterprise customers of a software product, including scoping work with economic buyers.

• Experience working in a venture-backed startup or scale-up, ideally from Seed to Series B, or in a genuine high-growth enterprise environment.

• Hands-on experience with Python or JavaScript, SQL, APIs, JSON, and webhooks.

• Applied AI experience, including practical work with LLMs, agent frameworks, evaluations, MCP, or retrieval-based systems.

• Ability to move comfortably between technical implementation and commercial discussions.

• Strong communication skills and the ability to explain complex technical concepts in business terms.

• A practical, outcome-driven approach to problem solving.

• Full professional fluency in English.

Offer:

• A senior, high-impact role shaping how enterprise customers adopt and operationalize AI.

• Direct exposure to senior stakeholders and meaningful ownership of customer outcomes.

• The opportunity to work on complex, real-world AI deployments rather than isolated proofs of concept.

• A collaborative environment that values commercial judgment, technical versatility, and practical execution.